Special Seminar

Software systems are widely used in enterprises to
help with their business services.
However, there is a serious lack
of fundamental techniques and methods to aid the design of
services constituting of data, workflows and business processes.
In this seminar,
we will focus on formal aspects and foundations of
various issues concerning service design and analysis.

Time:
Organizational meeting: 3pm-3:30pm, Monday, January 22
Regular meeting times will be decided at the organizational meeting

Title: Embedding graphs into vector spaces
Description: In this seminar, we will read recent literature on embedding of graphs/networks into vector spaces. Most of these methods that extend to attributed and dynamic graphs are based on deep learning. 

Description: In this seminar, the students will have the opportunities to read latest papers in the fields of natural language processing, machine learning, and artificial intelligence. The papers are typically from ACL, EMNLP, ICML, NIPS, and ICLR conferences, describing recent advances in the areas of Word Embeddings, Relational Learning, Reinforcement Learning, Generation, Dialog, and Computational Social Science etc. Each student is encouraged to lead the discussion of one paper in a quarter, and there are two papers per session.

The computer science department continues its tradition of having faculty members introducing their exciting works to all students interested in research, especially to new PhD and master students as well as CCS Computing students. The purpose of this seminar is multi-fold: bringing faculty research closer to students, fostering dialogue between faculty and students outside the boundary of research labs, and extending the horizon of students at all stages of their research paths.

This seminar covers various topics related to vulnerability analysis and hacking. A deep understanding of the details of both the vulnerabilities that make security compromises possible and the countermeasures that are required to detect and block the attacks is a necessary prerequisite to address the ever-changing set of security issues that affect applications, operating systems, and networks. The seminar has a practical emphasis, and it is geared towards learning new tools and techniques in a group setting.
 

A weekly seminar on Network Science, with broad topics rotating amongst these different areas:  socials sciences, algorithms, biological networks, dynamics and control, Cyberinfranstructure.  The focus of the seminars in Spring will be on Innovation and taking research beyond academia. 

In this seminar, the students will have the opportunities to read latest papers in the fields of natural language processing, machine learning, and artificial intelligence. The papers are typically from ACL, EMNLP, ICML, NIPS, and ICLR conferences, describing recent advances in the areas of Word Embeddings, Relational Learning, Reinforcement Learning, Generation, Dialog, and Computational Social Science etc. Each student is encouraged to lead the discussion of one paper in a quarter, and there are two papers per session.

A weekly seminar on Network Science, with broad topics rotating amongst these different areas:  socials sciences, algorithms, biological networks, dynamics and control, Cyberinfranstructure.  The focus of the seminars in Spring will be on Innovation and taking research beyond academia. 

The computer science department continues its tradition of having faculty members introducing their exciting works to all students interested in research, especially to new PhD and master students as well as CCS Computing students. The purpose of this seminar is multi-fold: Bringing faculty research closer to students, fostering dialogue between faculty and students outside the boundary of research labs, extending the horizon of students at all stage of their research paths.

A weekly seminar on Network Science, with broad topics rotating amongst these different areas:  socials sciences, algorithms, biological networks, dynamics and control, Cyberinfranstructure.  The focus of the seminars in Spring will be on Innovation and taking research beyond academia.